This article proposes and suggested improves real-coded genetic algorithm (IRCGA) for optimal scheduling of thermal plants in coordination with fixed head hydro units. Genetic algorithm (GA) is based on inbred operation of human chromosomes. GA has the ability to establish the global or very close to the global optima. Here, in this article to heighten convergence speed and solution quality the IRCGA method has been recommended. Two different test systems have been used here to verify the effectiveness of the proposed IRCGA method. The results obtained from the emerged IRCGA method have been compared with other evolutionary techniques. The simulation results from different test systems demonstrate that the proposed IRCGA algorithm has the capability to generate better result.

本文提出并建议改进实数编码遗传算法 (IRCGA)，以便与固定水头水力发电机组协同优化热电厂调度。遗传算法（GA）基于人类染色体的近交操作。GA 有能力建立全局或非常接近全局最优。在这里，本文推荐了 IRCGA 方法来提高收敛速度和解决方案质量。这里使用了两个不同的测试系统来验证所提出的 IRCGA 方法的有效性。从出现的 IRCGA 方法获得的结果已与其他进化技术进行了比较。来自不同测试系统的仿真结果表明，所提出的 IRCGA 算法能够产生更好的结果。